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Record W2158049392 · doi:10.5376/bm.2010.01.0001

Developing Specific Markers and Improving Genetic Mapping for a Major Locus <em>Tyr1</em> of Citrus Nematode Resistance

2010· article· en· W2158049392 on OpenAlexvenueno aff
Xu Xiang, Zhan'ao Deng, Qifa Zheng, Cunxian Chen, Frederick G. Gmitter

Bibliographic record

VenueBioscience Methods · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicNematode management and characterization studies
Canadian institutionsnot available
Fundersnot available
KeywordsLocus (genetics)NematodeBiologyGeneticsBiotechnologyGeneEcology

Abstract

fetched live from OpenAlex

The NBS-LRR class resistance-gene candidate sequences (Pt8a and Pt9a) were used to develop new specific markers to the citrus nematode resistance gene locus Tyr1 . By high-density colony screening, over 200 positive clones were pulled out from the BAC library. A few of the clones were found to be closely linked with the Tyr1 region, because the primers from these clones insert sequence produced polymorphism which matched up with the phenotype after bulked segregant analysis. By primer walking approach, three integrate NBS-LRR class resistance-gene sequences were tagged and identified separately in three clones (7A4, 4L17 and 29F20). More specific markers were developed from these tagged sequences and relatively high-density genetic maps were constructed by incorporating the newly developed markers and previously developed markers in the ‘9145 family’. New markers were applied in ‘9401 family’ trying to estimate roughly the genetic distance between the Ctv and Tyr1 region.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.283
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2010
Admission routes1
Has abstractyes

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